• DocumentCode
    484627
  • Title

    MERIS Chl-a Timeseries of Lake Constance 2003-2006

  • Author

    Odermatt, Daniel ; Heege, Thomas ; Nieke, Jens ; Kneubühler, Mathias ; Itten, Klaus

  • Author_Institution
    Remote Sensing Labs. (RSL), Zurich
  • Volume
    4
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    A physically based water constituent retrieval algorithm is used for the automatic processing of MERIS level 1B full resolution data. The algorithm requires several input variables for individual optimization with different sensors (i. e. channel calibration and weighting), aquatic regions (i. e. specific inherent optical properties) or atmospheric conditions (i. e. Aerosol models). The optical properties are derived from optical in situ measurements during concurrent MERIS data acquisition on 20 April 2007. Remaining parameters are iteratively optimized for best performance with 21 MERIS datasets of Lake Constance in the years 2003-2005, and validated with 11 datasets in 2006. Operational water quality sampling measurements acquired by local authorities serve as reference.
  • Keywords
    data acquisition; lakes; remote sensing; water quality; AD 2003 to 2006; AD 2007 04 20; Germany; Lake Constance; MERIS resolution data; MEdium Resolution Imaging Spectrometer; chl-a timeseries; data acquisition; operational water quality sampling measurements; optical in situ measurements; water constituent retrieval algorithm; Aerosols; Atmospheric measurements; Atmospheric modeling; Calibration; Data acquisition; Information retrieval; Input variables; Lakes; Optical sensors; Water; Inland water; chlorophyll; monitoring; operationalization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779855
  • Filename
    4779855